Travelled to:1 × Finland
1 × Italy
3 × USA
Collaborated with:Jacob Schrum Igor Karpov K.O.Stanley Bobby D. Bryant Erkin Bahçeci J.Reisinger Aditya Rawal Padmini Rajagopalan B.Silverthorn J.Blackmore D.E.Moriarty Alan J. Lockett Julian Bishop ∅ Alexander Eric Braylan Thomas D'Silva P.Stone J.Fan R.Lau P.Goetz S.Kumar Ryan Cornelius John Sheblak Igor V. Karpov Leif M. Johnson Aliza Gold Chern Han Yong Roy Janik Micahel Chrien Craig Varrichio Marc A. Wiseman Kay E. Holekamp
Talks about:learn (9) game (9) behavior (7) neuroevolut (5) evolv (5) video (4) nero (4) construct (3) structur (3) reinforc (3)
Person: Risto Miikkulainen
DBLP: Miikkulainen:Risto
Contributed to:
2011
2008200319961995
2005
200520062006200720082008200920102011201320152016Wrote 27 papers:
- SAT-2011-SilverthornM #learning #satisfiability
- Learning Polarity from Structure in SAT (BS, RM), pp. 377–378.
- ICML-2008-ReisingerSM #kernel #learning #online
- Online kernel selection for Bayesian reinforcement learning (JR, PS, RM), pp. 816–823.
- ICML-2003-FanLM
- Utilizing Domain Knowledge in Neuroevolution (JF, RL, RM), pp. 170–177.
- ICML-1996-GoetzKM #adaptation #learning #online
- On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning (PG, SK, RM), pp. 175–181.
- ICML-1995-BlackmoreM #grid #incremental #network #visualisation
- Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network (JB, RM), pp. 55–63.
- ICML-1995-MoriartyM #evolution #learning #performance
- Efficient Learning from Delayed Rewards through Symbiotic Evolution (DEM, RM), pp. 396–404.
- AIIDE-2005-DSilvaJCSM #behaviour #realtime
- Retaining Learned Behavior During Real-Time Neuroevolution (TD, RJ, MC, KOS, RM), pp. 39–44.
- AIIDE-2005-StanleyCM #game studies #learning #realtime #video
- Real-time Learning in the NERO Video Game (KOS, RC, RM), pp. 159–160.
- CIG-2005-StanleyBM #evolution #game studies #realtime #video
- Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award) (KOS, BDB, RM).
- AIIDE-2006-StanleyKMG #game studies #video
- The NERO Video Game (KOS, IK, RM, AG), pp. 151–152.
- AIIDE-2006-YongSMK #adaptation
- Incorporating Advice into Neuroevolution of Adaptive Agents (CHY, KOS, RM, IK), pp. 98–104.
- CIG-2006-BryantM #symmetry
- Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents (BDB, RM), pp. 90–97.
- CIG-2006-KarpovDVSM #evaluation #game studies #integration #learning
- Integration and Evaluation of Exploration-Based Learning in Games (IK, TD, CV, KOS, RM), pp. 39–44.
- CIG-2007-ReisingerBKM #game studies
- Coevolving Strategies for General Game Playing (JR, EB, IK, RM), pp. 320–327.
- AIIDE-2008-KarpovSM #education #framework #game studies #named #platform #research
- OpenNERO: A Game Platform for AI Research and Education (IK, JS, RM).
- AIIDE-2008-SchrumM #behaviour #multi
- Constructing Complex NPC Behavior via Multi-Objective Neuroevolution (JS, RM).
- CIG-2008-BahceciM #game studies #heuristic
- Transfer of evolved pattern-based heuristics in games (EB, RM), pp. 220–227.
- CIG-2008-LockettM #evolution #modelling
- Evolving opponent models for Texas Hold 'Em (AJL, RM), pp. 31–38.
- CIG-2009-SchrumM #behaviour #evolution #multi
- Evolving multi-modal behavior in NPCs (JS, RM), pp. 325–332.
- CIG-2010-RawalRM #behaviour #using
- Constructing competitive and cooperative agent behavior using coevolution (AR, PR, RM), pp. 107–114.
- CIG-2011-RajagopalanRMWH #coordination #evolution
- The role of reward structure, coordination mechanism and net return in the evolution of cooperation (PR, AR, RM, MAW, KEH), pp. 258–265.
- CIG-2011-SchrumKM #behaviour #named
- UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces (JS, IK, RM), pp. 329–336.
- CIG-2011-SchrumM #evolution #game studies #multimodal #network
- Evolving multimodal networks for multitask games (JS, RM), pp. 102–109.
- CIG-2013-BishopM #evaluation #learning #online
- Evolutionary reature evaluation for online Reinforcement Learning (JB, RM), pp. 1–8.
- CIG-2015-KarpovJM #behaviour #machine learning
- Evaluating team behaviors constructed with human-guided machine learning (IVK, LMJ, RM), pp. 292–298.
- CIG-2015-Miikkulainen #evolution #network #tutorial
- Tutorial III: Evolving neural networks (RM), p. 22.
- AIIDE-2016-BraylanM #game studies #video
- Object-Model Transfer in the General Video Game Domain (AEB, RM), pp. 136–142.